OcrV1, Main, Curation, bibRecord, 001005

Support Vector Machines for Mathematical Symbol Recognition

Identifieur interne : 001005 ( Main/Curation ); précédent : 001004; suivant : 001006

Support Vector Machines for Mathematical Symbol Recognition

Auteurs : Christopher Malon [Japon] ; Seiichi Uchida [Japon] ; Masakazu Suzuki (mathématicien) [Japon]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.

RBID : ISTEX:74C71BABB60C741436EAD850ECD521F6CB60808C

Descripteurs français

Pascal (Inist)
- Analyse statistique, Analyse structurale, Analyse syntaxique, Apprentissage probabilités, Caractère manuscrit, Formule mathématique, Machine exemple support, Reconnaissance caractère, Reconnaissance forme, Reconnaissance optique caractère.

English descriptors

KwdEn :
- Character recognition, Manuscript character, Mathematical formula, Optical character recognition, Pattern recognition, Probability learning, Statistical analysis, Structural analysis, Syntactic analysis, Vector support machine.

Abstract

Abstract: Mathematical formulas challenge an OCR system with a range of similar-looking characters whose bold, calligraphic, and italic varieties must be recognized distinctly, though the fonts to be used in an article are not known in advance. We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols.

Url:

https://api.istex.fr/document/74C71BABB60C741436EAD850ECD521F6CB60808C/fulltext/pdf

DOI: 10.1007/11815921_14

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Links to Exploration step

ISTEX:74C71BABB60C741436EAD850ECD521F6CB60808C

Le document en format XML

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Support Vector Machines for Mathematical Symbol Recognition

Support Vector Machines for Mathematical Symbol Recognition

Source :

Descripteurs français

English descriptors

Abstract

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